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Entry Level Ai Data Annotation Jobs in Massachusetts

Welo Data

Data Labeling Associate

Boston, MA

$34/hr

What if your language expertise could help improve the speech and voice AI systems used by millions of people worldwide? WHAT YOU'LL DO * Execute Data labelling and annotation tasks across speech and ...

Pwc

AIT - AI Data Scientist Senior Associate

Boston, MA · On-site

$72K - $212K/yr

... an AI Data Scientist Senior Associate, you will leverage advanced analytics and statistical ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Hatch IT

NLP/Linguistics Software Engineer

Somerville, MA

$125K - $150K/yr

They deliver advanced AI and data analytics solutions providing unmatched, analysis-ready data ... Experience with data quality evaluation, data annotation, or guideline design, preferably for ...

Babel Street

NLP/Linguistics Software Engineer

Somerville, MA · On-site

$125K - $150K/yr

We deliver advanced AI and data analytics solutions providing unmatched, analysis-ready data ... Experience with data quality evaluation, data annotation, or guideline design, preferably for ...

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Entry Level Ai Data Annotation information

What is an entry level AI data annotation?

An Entry Level AI Data Annotation job involves labeling and categorizing data such as images, text, audio, or video to help train artificial intelligence (AI) and machine learning models. Annotators follow specific guidelines to tag data accurately, ensuring that AI systems learn to recognize patterns correctly. These positions typically require attention to detail, basic computer skills, and the ability to follow instructions. No advanced technical knowledge is usually required, making it a great way to start a career in the AI or tech industry.

What are some common challenges faced by entry level AI data annotation specialists, and how can they be addressed?

Entry-level AI data annotation specialists often encounter challenges such as maintaining consistency and accuracy while labeling large volumes of data, understanding nuanced instructions, and adapting to changing project requirements. These challenges can be addressed by actively seeking clarification from team leads, participating in training sessions, and regularly reviewing annotation guidelines. Collaborating with teammates and using quality assurance feedback also helps improve accuracy and ensures alignment with project standards.

What are the key skills and qualifications needed to thrive as an entry level AI data annotation specialist?

To thrive as an Entry Level AI Data Annotation Specialist, attention to detail, basic computer literacy, and a high school diploma or equivalent are typically required. Familiarity with data labeling platforms, annotation tools, and spreadsheet software is often expected. Strong organizational skills, focus, and the ability to work independently help individuals excel in this role. These skills ensure accurate and efficient data labeling, which is crucial for developing reliable AI and machine learning models.
What are the most commonly searched types of Ai Data Annotation jobs in Massachusetts? The most popular types of Ai Data Annotation jobs in Massachusetts are:
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Entry Level Ai Data Annotation jobs near you
Infographic showing various Entry Level Ai Data Annotation job openings in Massachusetts as of August 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 92% In-person, and 8% Remote job distribution.

Robot Teleoperator (AI & Robotics)

TSMG

Watertown, MA

Full-time

Re-posted 5 days ago

Job description

About the Role

We are seeking Robot Teleoperators to support next-generation robotics and AI programs.

In this role, you will remotely operate and supervise robotic systems through advanced control interfaces, helping robots perform real-world tasks safely and efficiently. Your work will directly contribute to the development and validation of intelligent robotic systems used across manufacturing, logistics, retail, and service environments.

This position is ideal for candidates with strong attention to detail, excellent hand-eye coordination, and the ability to remain focused in fast-paced operational environments.

What You'll Do
Robot Operations
  • Operate robots using teleoperation consoles, controllers, and monitoring systems
  • Monitor live video feeds and robot telemetry
  • Perform real-time movement adjustments and task execution
  • Ensure safe and efficient robot operation during active sessions
  • Execute operational procedures according to established guidelines
Data Collection & Quality
  • Capture operational data during robot activities
  • Document observations and system performance
  • Identify anomalies, operational issues, or task failures
  • Support data annotation and quality validation activities
  • Maintain accurate operational records and logs
Continuous Improvement
  • Provide feedback on robot performance and usability
  • Assist engineering teams in identifying opportunities for improvement
  • Participate in testing of new workflows and operational procedures
What We're Looking For
Required
  • Strong hand-eye coordination
  • Excellent attention to detail
  • Ability to maintain concentration for extended periods
  • Basic computer proficiency
  • Ability to follow detailed operating procedures
  • Strong communication skills
Preferred
  • Experience with gaming consoles, simulation platforms, or real-time control systems
  • Experience in robotics, AV/ADAS, drones, automation, or technical operations
  • Experience working in shift-based environments
  • Familiarity with multi-monitor workstations
Why Join Us
  • Work directly with cutting-edge robotics technology
  • Gain experience in one of the fastest-growing technology sectors
  • Structured training and career development opportunities
  • Collaborative environment with engineering and operations teams
  • Opportunity to contribute to the future of intelligent machines
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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